PandaSet

PandaSet is an autonomous driving AI dataset product developed by Hesai (China) and Scale (USA) for the transport & mobility industry.

The PandaSet autonomous driving dataset was released by Hesai and Scale on 20 May 2020. The dataset contains 60,000 frames of driving imagery around San Francisco, Palo Alto and San Mateo.

Combining Hesai’s best in class LiDAR sensors with Scale’s high-quality data annotation, the full PandaSet dataset will feature:

• 60,000 camera images


• 20,000 LiDAR sweeps


• 125 scenes of 8s each


• 28 annotation classes


• 37 semantic segmentation labels


• Full sensor suite: 1x mechanical LiDAR, 1x solid-state LiDAR, 6x cameras, On-board GPS/IMU

Location/Environment: Pandaset scenes are selected from 2 routes in Silicon Valley: (1) San Francisco; and (2) El Camino Real from Palo Alto to San Mateo, showcasing complex urban driving scenarios, including steep hills, construction, dense traffic and pedestrians, and a variety of times of day and lighting conditions in the morning, afternoon, dusk and evening.